Noisy data appear very naturally in applications where the authentication is based on physical identifiers. This book provides a self-contained overview of the techniques and applications of security based on noisy data. It provides a comprehensive overview of the theory of extracting cryptographic keys from noisy data, and describes applications in the field of biometrics, secure key storage, and anti-counterfeiting.
|Edition description:||Softcover reprint of hardcover 1st ed. 2007|
|Product dimensions:||6.10(w) x 9.25(h) x 0.03(d)|
Table of ContentsTheory of Security with Noisy Data.- Unbreakable Keys from Random Noise.- Fuzzy Commitment.- A Communication-Theoretical View on Secret Extraction.- Fuzzy Extractors.- Robust and Reusable Fuzzy Extractors.- Fuzzy Identities and Attribute-Based Encryption.- Unconditionally Secure Multiparty Computation from Noisy Resources.- Computationally Secure Authentication with Noisy Data.- Applications of Security with Noisy Data.- Privacy Enhancements for Inexact Biometric Templates.- Protection of Biometric Information.- On the Amount of Entropy in PUFs.- Entropy Estimation for Optical PUFs Based on Context-Tree Weighting Methods.- Controlled Physical Random Functions.- Experimental Hardware for Coating PUFs and Optical PUFs.- Secure Key Storage with PUFs.- Anti-Counterfeiting.